This is an educational repository containing fundamental algorithm implementations. It is not a production library, and it does not handle network requests, authentication, or sensitive user data.

Therefore, we do not require complex or private disclosure processes.

In the context of algorithmic engineering, we care deeply about computational stability. We consider the following to be critical issues:

• Arithmetic Overflows: Operations exceeding 32-bit/64-bit bounds.
• Resource Exhaustion: Infinite loops, severe memory leaks, or recursive stack overflows.
• Concurrency Deadlocks: Thread freezing in parallel implementations.

Just open a standard GitHub Issue! We believe that discussing algorithmic flaws, edge-case failures, and memory limits openly is a fantastic learning opportunity for all.

1. Go to the Issues tab.
2. Create a new issue describing the flaw.
3. Provide a minimal code snippet or the array of numbers that causes the algorithm to break.
4. If you have a fix in mind, feel free to open a Pull Request directly referencing the issue.

Thank you for helping us keep these foundations stable and mathematically sound!